class GabrielNunes:
    def __init__(self):
        self.role = "Data & Analytics Engineering Student"
        self.location = "Salvador, Bahia, Brazil 🇧🇷"
        self.main_focus = [
            "Data Analysis",
            "Analytics Engineering",
            "Python Process Automation",
            "Backend APIs",
            "Business Intelligence"
        ]
        self.stack = ["Python", "SQL", "dbt", "Power BI", "FastAPI", "PostgreSQL"]
        self.current_goal = "Build reliable data and automation solutions with business impact"

    def say_hi(self):
        print("Welcome! Here you will find projects focused on data, automation and backend development.")

me = GabrielNunes()
me.say_hi()

I am a Systems Analysis and Development student with practical experience in data, analytics engineering and process automation.

My work focuses on using technology to transform manual, repetitive and fragmented processes into more reliable, traceable and scalable workflows.

I have experience with Python, SQL, Power BI, dbt, FastAPI and data modeling, applying these tools to solve business problems, improve data quality and support decision-making.

• 📊 Data Analysis and Business Intelligence
• 🏗️ Analytics Engineering
• 🐍 Python Process Automation
• 🧩 SQL and Data Modeling
• 🔎 Data Quality and Validation
• ⚙️ Backend APIs with FastAPI and Node.js
• 📈 Operational Indicators and Dashboards

Analytics engineering project focused on data modeling, business metrics, analytical layers and decision-support dashboards.

Stack: SQL · dbt · Power BI · Data Modeling

Highlights:

• Structured analytical layers for business reporting
• Organized data models following analytics engineering practices
• Created indicators to support business analysis
• Applied data quality checks and documentation
• Built a project structure focused on clarity and maintainability

Data quality and monitoring project using dbt to validate business rules, relationships and consistency across analytical models.

Stack: dbt · SQL · Data Quality · Analytics Engineering

Highlights:

• Created validation logic for analytical datasets
• Applied tests for null values, uniqueness and relationships
• Organized models into structured analytical layers
• Documented business rules and quality assumptions
• Built a foundation for more reliable reporting

Machine learning project focused on image classification using convolutional neural networks and deep learning techniques.

Stack: Python · TensorFlow · Keras · Scikit-learn

Highlights:

• Implemented image preprocessing steps
• Trained and evaluated a CNN model
• Applied classification metrics to assess performance
• Organized the experiment flow for reproducibility
• Practiced computer vision and deep learning concepts

Automation-oriented projects using Python to process files, transform data, apply business rules and generate operational outputs.

Stack: Python · Pandas · SQL · Excel/CSV Automation

Highlights:

• Automated repetitive data processing tasks
• Cleaned and transformed tabular datasets
• Applied rule-based classification logic
• Generated reports and structured outputs
• Reduced manual effort in operational workflows

Backend development projects focused on APIs, database integration, authentication and structured application logic.

Stack: FastAPI · Node.js · PostgreSQL · Docker · REST APIs

Highlights:

• Built REST API endpoints
• Integrated backend services with relational databases
• Practiced authentication and authorization concepts
• Organized application structure by modules
• Applied clean code and documentation practices

Currently, I am focused on improving and publishing projects that demonstrate:

• End-to-end data pipelines
• SQL and dbt modeling
• Data quality tests
• Business dashboards
• Python automation workflows
• Backend APIs with database integration
• Clear technical documentation

My goal is to keep this GitHub as a public portfolio of practical, well-documented and business-oriented projects.

interface CurrentGoals {
    portfolio: string[];
    technicalGrowth: string[];
    careerFocus: string[];
}

const goals: CurrentGoals = {
    portfolio: [
        "Publish well-documented data projects",
        "Improve README files and project structure",
        "Build practical automation and analytics case studies"
    ],
    technicalGrowth: [
        "Deepen SQL and data modeling skills",
        "Improve backend API architecture",
        "Apply more testing and documentation practices",
        "Study cloud data tools and modern analytics workflows"
    ],
    careerFocus: [
        "Data Analyst",
        "Analytics Engineer",
        "BI Analyst",
        "Python Automation",
        "Backend Development"
    ]
};

I am interested in opportunities related to:

const contact = {
    email: "gabrielnbn@hotmail.com",
    linkedin: "gabriel-nunes-barbosa-nogueira",
    github: "Gabriel-boop-deep",
    portfolio: "gabriel-boop-deep.github.io",
    location: "Salvador, BA 🇧🇷",
    timezone: "GMT-3",
    status: "Open to opportunities"
};

console.log("Let's connect and build useful solutions.");